What are the responsibilities and job description for the Data Product Analyst position at GDH?
Role Summary
A data driven financial services organization seeks a Data Product Analyst to join their Enterprise Data Products Team. This role is focused on supporting the replacement of the Fraud Case Management system, emphasizing data analysis, sourcing, and quality assurance. The analyst will collaborate closely with IT and Data Engineering teams to ensure data is well-defined, high-quality, and ready for deployment within AWS, leveraging a strong data product mindset.
Responsibilities
This position offers a hybrid schedule, with time split between the office and remote work.
A data driven financial services organization seeks a Data Product Analyst to join their Enterprise Data Products Team. This role is focused on supporting the replacement of the Fraud Case Management system, emphasizing data analysis, sourcing, and quality assurance. The analyst will collaborate closely with IT and Data Engineering teams to ensure data is well-defined, high-quality, and ready for deployment within AWS, leveraging a strong data product mindset.
Responsibilities
- Perform advanced SQL analysis across large, complex datasets to support data project needs.
- Document data sourcing, lineage, and transformation processes from source systems to target environments.
- Develop and maintain source-to-target mappings, data dictionaries, and metadata repositories.
- Define data structure and quality expectations for data landing in AWS environments.
- Identify, document, and address data quality issues while monitoring data quality rules.
- Prepare clear and precise requirements and artifacts to assist Data Engineers in building data pipelines.
- Make data-driven recommendations to optimize data usability and quality.
- Collaborate effectively with cross-functional teams within an Agile/Scrum framework.
- Ensure data processes align with organizational standards and best practices.
- Maintain knowledge of evolving data tools, cloud services, and industry trends to support ongoing improvements.
- Strong expertise in SQL, with experience analyzing large and disparate datasets.
- Proven experience supporting large-scale data projects in cloud environments, particularly AWS.
- Hands on experience working with cloud services such as AWS Glue and Lambda.
- Familiarity with Snowflake or similar cloud data platforms; AWS preferred.
- Experience working within Agile/Scrum teams and frameworks.
- Excellent communication and documentation skills, with a collaborative mindset.
- Ability to partner effectively with IT and Data Engineering teams.
- Availability to work in a hybrid schedule, combining remote and in-office work.
- Work rights to support employment in the designated location.
This position offers a hybrid schedule, with time split between the office and remote work.
Salary : $75 - $82